video-longform
Skill0 starsChanged 17 days agoMITView on GitHub
Plans, scripts, cuts and judges long-form YouTube devlogs (3-15 min) for a game. Decides whether a devlog is worth making yet, writes a one-topic brief, a cold open that pays the title within 30 s, a problem-attempts-payoff structure, script and narration rules (including AI voice), retention techniques, chapters, Shorts cut from each episode, and the metrics that decide whether the series continues. Use with video-craft and video-youtube before proposing, scripting, editing or reviewing any long-form video.
In this repository21 other files it gives its agents.
- art-craftSkill
- blender-animSkill
- char-3d-sourceSkill
- char-animSkill
- design-craftSkill
- design-principlesSkill
- elevenlabsSkill
- enemy-designSkill
- fx-craftSkill
- godot-devSkill
- hero-designSkill
- marketing-playbookSkill
- motion-graphicsSkill
- post-voiceSkill
- save-the-catSkill
- skill-designSkill
- ui-craftSkill
- video-craftSkill
- video-shortSkill
- video-trailerSkill
- video-youtubeSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Start long-form only when there is enough approved gameplay for an episode.
- Very specific: line 21
Keep a running devlog-notes.md: one line and a clip path whenever something visible changes.
- Distinctive: line 40
Write the body first and the cold open last, from the real payoff.
- Distinctive: line 55
After publishing, retention spikes are the next Shorts and the next thumbnail ideas.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Long-form devlogs
Load video-craft (pipeline, tools, QA gate) and video-youtube (title, thumbnail, upload). This skill covers the episode itself.
Is it worth making yet?
- Devlogs are mid-funnel: they deepen people who already know the game. Reported conversion is roughly 0.07-1.3% of views to wishlists, and the strongest devlog results came from years of steady uploads [PRAC]. Zukowski's survey ranks festivals, TikTok, streamers and Reddit above YouTube devlogs, and Jonas Tyroller says his own channel made no noticeable dent for Thronefall. The evidence conflicts, so run a small, player-facing series at a pace you can hold and judge it on weekly wishlists once the page exists.
- Start long-form only when there is enough approved gameplay for an episode. Until then, devlog topics become Shorts.
- Voice: your own voice, captions only, or an AI voice. If AI, use one approved voice and settings, and disclose it (YouTube AI use: Yes). An AI-sounding read costs trust with a dev audience, so the script and the take matter more: short lines, several takes, chosen by ear (
elevenlabsskill, voice section).
One episode = one topic
- A topic is a player-facing moment, not an engine topic: "This hero is hiding in a diner", not "Godot shaders". Good topics: a character or enemy reveal, a system that was broken and is fixed, a visual overhaul with before/after on approved art, a playtest invite.
- Sprint logs and bug-fix lists underperform. Tangents become notes for the next episode.
- Keep a running
devlog-notes.md: one line and a clip path whenever something visible changes. If battles are deterministic, fixed seeds plus git history let you re-shoot any past state later instead of recording while working.
Structure (8-12 min)
| Time | Section | Content |
| 0:00-0:10 | Cold open | The moment the title and thumbnail promised, in the game. No greeting, no logo. |
| 0:10-0:30 | Stakes | One sentence on the game in plain words, naming it aloud or on screen, and this episode's problem. |
| 0:30-2:00 | Problem shown | The broken or dull version playing. Proof, not description. |
| 2:00-6:00 | Attempts (2-3) | Try → result → why it failed → an open question into the next. Failures are often the best minutes. Speed up anything that only shows time passing. |
| 6:00-8:00 | Payoff | Before/after, then the new version at full length with sound. |
| 8:00-9:00 | Meaning + ask | What it changes for the player; the one ask (follow, wishlist once the page exists) before the outro. |
| 9:00-10:00 | Next | The next episode's problem as a hook. End on a high moment, not a fade. |
- YouTube's Intro metric is the share still watching at 0:30, measured against what the title and thumbnail promised. Pay the promise inside 30 s.
- Chapters:
00:00first, at least 3, each ≥ 10 s, named by question ("Why the fight felt dead").
Script
- Write the body first and the cold open last, from the real payoff.
- About 120-150 spoken words a minute: 600-1,200 words for 5-10 min. Read it aloud; cut every sentence you stumble on.
- Show, then tell: wherever gameplay can replace a sentence, it does. No talking over a static screen.
- Plain, first person, no trailer voice, no invented facts or anecdotes. Run a humanizer pass for the script's language (e.g. https://github.com/blader/humanizer), and get the human's approval on the script before any paid rendering.
- Captions-only episodes: one caption per thought, ≤ 2 lines, in sync with the picture; a captions-only video has to move faster because nothing carries the gaps.
Retention
- New visual information every 3-6 s; change the shot when the sentence changes topic.
- A pattern interrupt every 30-60 s: an angle change, B-roll, a diagram, a music change, a speed ramp, a held silence.
- Each section ends on an open question the next one answers.
- Music under speech stays low (start at −20 dB under the voice and measure,
video-crafttools.md "Measuring sound") or drops out during dense explanation. - Narration gaps: at most 0.5 s between lines, keeping the breath at a sentence end. With TTS, take word times from the provider's timestamp response so cuts and captions never clip a word.
- One 1.5× watch-through before export: cut anything you'd skip. Write every fix in
notes.mdduring that watch and fix them in one round. - Build each chapter as its own segment and
concatthem, so a fix in one chapter re-renders only that chapter. - After publishing, retention spikes are the next Shorts and the next thumbnail ideas.
Every episode also makes
- 1-2 vertical Shorts (
video-short): one moment, the hook in the first second, the game named on screen, the episode set as the Short's Related video. - An X clip and, where it fits a sub's rules, a Reddit post, each cut for its channel.
- Later, the same topic as a Steam event post so the store page shows activity.
Checklist (on top of the video-craft QA gate)
- The title and thumbnail promise is on screen by 0:30, and the game is named by 0:30.
- One topic; every section serves it.
- Chapters valid; the ask comes before the outro.
- Script approved; narration in the approved voice and settings; YouTube AI use set to Yes if the voice is synthetic.
- Music and SFX are your own or licensed on file; loudness −14 LUFS.
- Privacy pass on any screen capture (editor, terminal, notes, mail): names, e-mails, paths, keys and tokens blurred (
video-crafttools.md blur recipe), checked frame by frame where they move. - An SRT is ready, plus translated titles and descriptions for your target languages (
video-youtube). - The Shorts cut from it are made.
Reading the result
Read at 48 h and 7 d: Intro (% at 0:30), CTR by traffic source, average view duration, dips and spikes. Judge the series after 5-10 episodes on weekly wishlist change (0-40 a week is weak, 200+ is strong by Zukowski's benchmark), not on views. If an episode's Intro is low, the cold open didn't pay the title; fix that first.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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